image classification techniques in deep learning
Image classification refers to the task of extracting information classes from a multiband raster image. The resulting raster from image classification can be used to create thematic maps. … The recommended way to perform classification and multivariate analysis is through the Image Classification toolbar. The effectiveness of data augmentation in image classification using deep learning […]
image fusion approach for image processing
The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one. This single image is more informative and accurate than any single source image, and it consists of all the necessary information multi resolution palm image fusion approach for image enhancement […]
network improvement 2019
Understand your network. Quality of service and packet shaping. Compression. Protocol acceleration. User involvement and education. Out of band management. Mistimed traffic. Performance improvement of vehicular ad-hoc network with nature inspired biological computing algorithmfree downloadVANET is a hybrid ad-hoc network between vehicles and road side units. Due to the high mobility of nodes, to find […]
Datasets Over Algorithms
Datasets Over Algorithms. The average elapsed time between key algorithm proposals and corresponding advances is about 18 years; the average elapsed time between key dataset availabilities and corresponding advances is less than 3 years, 6 times faster. A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets free downloadThis paper applies […]
data security
Data security is when protective measures are put in place to keep unauthorized access out of computers, websites, and databases. This process also provides a mechanism for protecting data from loss or corruption Data security in cloud computing using RSA algorithmfree downloadCloud Computing is an emerging paradigm which has become todays hottest research area due […]
data centre security
Data center security refers to the physical practices and virtual technologies used to protect a data center from external threats and attacks. … Because data centers hold sensitive or proprietary information, such as customer data or intellectual property, sites have to be both digitally and physically secured. Placement of security devices in cloud data centre […]
smart agriculture based on iot
In IoT-based smart farming, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere. Smart Agriculture System Using IoT free downloadThe system can be powered by photovoltaic panels and can have […]
smart agriculture technology
The goal of smart agriculture research is to ground a decision making support system for farm management. … Smart farming deems it necessary to address the issues of population growth, climate change and labour that has gained a lot of technological attention, from planting and watering of crops to health and harvesting. Smart agriculture based […]
agricultural cloud computing
Cloud computing can be used to aggregate data from tools like soil sensors, satellite images, and weather stations to help farmers make better decisions about managing their crops. … In recent years, agricultural companies have been harnessing the power of the cloud to create solutions Use of Cloud Computing in Agricultural Sector, a Myth Or […]
image steganography 2020
Steganography has been successfully employed in various applications, eg, copyright control of materials, smart identity cards, video error correction during transmission, etc. Deep learning-based steganography models can hide information adaptively through The purpose of steganography is covert communication to hide a message from a third party. This differs from cryptography, the art of secret writing, […]